A/Prof Pascal Hitzler Presented "Data Integration with Ontology Design Patterns" at the Baser Seminar Series

Pascal Hitzler is Associate Professor at the Department of Computer Science and Engineering at Wright State University in Dayton, Ohio, U.S.A. His research record lists over 280 publications in theoretical and applied Computer Science, Artificial Intelligence, and Mathematics. He is a funded and active participant in the NSF EarthCube program, with a focus on data and metadata semantics. He is co-author of the W3C Recommendation OWL 2 Primer, and of the book Foundations of Semantic Web Technologies by CRC Press, 2010 which was named as one out of seven Outstanding Academic Titles 2010 in Information and Computer Science by the American Library Association's Choice Magazine, and has translations into German and Chinese. He is Editor-in-chief of the Semantic Web journal by IOS Press, and of the IOS Press book series Studies on the Semantic Web. He is on the editorial board of several journals and book series and on the steering committees of the RR conference series,and the NeSy workshop series and he frequently acts as conference chair in various functions, including e.g. General Chair (RR2012), Program Chair (AIMSA2014, ODBASE2011), Track Chair (AAAI-15, ESWC2013, ESWC2011), Workshop Chair (K-Cap2013), Sponsor Chair (ISWC2013). For more information, see http://www.pascal-hitzler.de.

The integration of data for cross-repository information discovery remains a significant challenge. Traditional integration methods using centralised schemas are often insufficient if data volumes are high, topic coverage is wide, and if data sources are distributed, diverse, and serve different purposes. In this presentation, I will introduce the key ideas and rationales concerning recent advances on this topic, which we are currently being applied to prominent data repositories in the geosciences. Our approach rests decisively on the idea of using so-called ontology design patterns, which make it possible to establish a flexible, modular, extensible, and scalable metadata architecture for cross-repository discovery.

More info: http://sydney.edu.au/engineering/it/research/news/seminars.shtml